Hop
Senior AI Engineer
Los Angeles · Senior
Sponsorship not specifiedDetected 118 days ago
PythonGitSQLBigQueryRedshiftVector DatabasesDockerKubernetesHelmCI/CDPrometheusGrafanaKafkaMachine LearningSparkData EngineeringData ScienceLLMsRAGAgentic AIMentoring
About the role
- They are seeking a highly motivated, innovative, and collaborative Technology staff member to serve as the Senior AI Engineer.
Responsibilities
- Build & Ship Gen AI Apps: Design, prototype, and build GenAI solutions, RAG document pipelines, and task-specific agents to support multiple business functions using tools such as LangChain/LlamaIndex, micro-services, Ray/KubeRay.
- Agent Workflow Pipelines: Design and orchestrate multi-step agent pipelines, integrating LLM prompts, external APIs, and human-in-the-loop escalations.
- End-to-End ML Lifecycle: Own requirements → data prep → feature engineering → classical ML or LLM fine-tuning (LoRA, PEFT, RLHF) → offline/online evaluation → MLflow registry, with automated drift and quality alerts.
- implement GPU scheduling, autoscaling, blue-green rollouts, and cost telemetry via Prometheus/Grafana
- Lead & Mentor: Translate ambiguous business ideas into executable roadmaps, run build-vs-buy analysis, set code standards, and coach peers on agentic patterns and ethical AI.
- Scalable Deployment & Ops: Package with Docker, helm-deploy on Kubernetes; implement GPU scheduling, autoscaling, blue-green rollouts, and cost telemetry via Prometheus/Grafana; automate CI/CD in GitHub Actions.
- Design and orchestrate multi-step agent pipelines, integrating LLM prompts, external APIs, and human-in-the-loop escalations.
- Own requirements → data prep → feature engineering → classical ML or LLM fine-tuning (LoRA, PEFT, RLHF) → offline/online evaluation → MLflow registry, with automated drift and quality alerts.
- Package with Docker, helm-deploy on Kubernetes; implement GPU scheduling, autoscaling, blue-green rollouts, and cost telemetry via Prometheus/Grafana; automate CI/CD in GitHub Actions.
- Translate ambiguous business ideas into executable roadmaps, run build-vs-buy analysis, set code standards, and coach peers on agentic patterns and ethical AI.
Requirements
- Bachelor's or Master's in Computer Science, Data Science, or equivalent experience.
- 7+ years designing and shipping ML/AI applications, including 2+ years with LLMs or Generative AI.
- comfort with MLflow, Ray/KubeRay, and vector databases.
- Production experience with Docker, Kubernetes, Helm, and Git-based CI/CD pipelines.
Skills
- Our client is a family office management company serving investments, foundations, and activities of a prominent family.
- With a broad mandate, their organization oversees diverse assets and programs, including multiple foundations and institutes.
Compensation
- Across their entities, they manage hundreds of employees and oversee significant annual expenditures, ranging from grants and gifts to private investments and operational costs.
Benefits
- Compensation includes a strong base + bonus (no equity, as they're private).
This listing is sourced directly from Hop's careers page and normalized into a canonical job model.